Project Grant 2616250
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $800,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to study how users form and intensify beliefs about social understanding in conversational AI systems. The research examines how users attribute social understanding—perceived empathy, intention recognition, and genuine emotional comprehension—to chatbots and virtual...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $349,005 on September 1, 2026, to develop efficient methods for human feedback to artificial intelligence agents operating in complex environments such as code editors and web browsers. The award supports research organized around three thrusts: developing models and benchmarks for agents that interpret blended feedback combining natural language instructions with direct user...
- Carnegie Mellon University was awarded a $738,927 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year project grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research toward developing personalized machine learning models, reasoning approaches under data-knowledge symbiosis, and interpretable interaction...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $450,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and evaluate community-centered civic artificial intelligence systems that help residents, community organizations, and local governments understand public problems and connect to actionable community knowledge. The project runs through September 30, 2029,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Drexel University $399,317 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design, develop, and evaluate developmentally appropriate interventions that prevent adolescent overattachment to conversational AI companions. The project addresses the risks of emotional attachment, excessive use, and overreliance on AI chatbots among teenagers during...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $800,000 on October 1, 2026, to develop teaching materials and assessment methods that help programmers and trainees judge when to rely on artificial intelligence tools versus performing work independently. The project conducts empirical research on how working programmers and early-career developers allocate tasks between themselves and AI systems, identifying patterns of...
- The National Science Foundation Division of Computing and Communication Foundations awarded George Mason University $495,396 on June 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop tools and research examining how adolescents experience and respond to algorithmic influence from social media personalization and generative AI chatbots. The project employs qualitative, quantitative, and participatory design methods across two phases. The...
- Carnegie Mellon University was awarded a $391,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the Computer and Information Science and Engineering federal grant program (CFDA 47.070) and will fund the "FAI: FAIR AI IN PUBLIC POLICY - ACHIEVING FAIR SOCIETAL OUTCOMES IN ML APPLICATIONS TO EDUCATION, CRIMINAL JUSTICE, AND HEALTH AND HUMAN SERVICES" project from April 1, 2021 through March 31, 2024. Under this...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $450,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop techniques ensuring factual reliability in large language model chatbots. The project will create methods to prevent hallucinations in LLM-generated responses by leveraging interpretability of model internals. The work proceeds in three thrusts:...
- Carnegie Mellon University was awarded a $847,832 project grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the three-year award beginning October 1, 2021, Carnegie Mellon University will develop...
The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $748,573 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research on the social and psychological impacts of overly agreeable AI chatbots. The project examines why users prefer AI chatbots that are excessively agreeable and flattering despite evidence that such interaction entrenches attitudes and produces overconfident decision-making. Carnegie Mellon will conduct multiple behavioral experiments exploring how motivation, knowledge, and individual differences explain user preferences for overly agreeable chatbots. The work includes a large-scale comparison study (megastudy) to determine whether neutral chatbots can be designed to improve decision-making while remaining enjoyable to use, and a month-long daily interaction study measuring the causal impact of chatbot agreeableness on user attitudes and choices over time. Research findings will inform theoretical understanding of AI preference and deliver practical guidance for technology developers and policymakers on improving AI systems. Performance occurs in Pittsburgh, Pennsylvania, with a period of performance from October 1, 2026, through September 30, 2029. No subawards are planned for this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $748.6k | 7/28/26 |